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首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Geometry Based Co-Registration of ALSAT-2A Panchromatic and Multispectral Images
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Geometry Based Co-Registration of ALSAT-2A Panchromatic and Multispectral Images

机译:基于几何的ALSAT-2A全色和多光谱图像共同配准

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摘要

The co-registration of panchromatic and multispectral images is an important task to obtain a good pan sharpened images. Generally, co-registration can be realized by using image-based or geometry-based methods. The geometry-based method necessitates the understanding and the modelling of the imaging process. This paper describes a method for co-registration of panchromatic and multispectral images from ALSAT-2A the first high resolution Algerian satellite. This method, based on the analysis of the metadata provided by the considered sensor, uses the time dependant collinearity condition for rigorous camera modelling. Three experiments, based on ALSAT-2A images, are performed. The first experiment deals with calculating the exterior orientation parameters (EOP) using the panchromatic image and applying them for georeferencing the multispectral image. In the second experiment; the panchromatic image is georeferenced by applying the model EOP calculated from the multispectral image. The third experiment consists in using both images in a bundle adjustment procedure for a higher accuracy. Sub pixel positioning accuracy can be obtained using the model calculated using the panchromatic image only.
机译:全色和多光谱图像的共配准是获得良好的泛锐化图像的重要任务。通常,可以通过使用基于图像或基于几何的方法来实现共配准。基于几何的方法需要对成像过程进行理解和建模。本文介绍了一种用于对来自第一颗高分辨率阿尔及利亚卫星ALSAT-2A的全色和多光谱图像进行配准的方法。该方法基于对所考虑的传感器提供的元数据的分析,将时间相关的共线性条件用于严格的相机建模。基于ALSAT-2A图像进行了三个实验。第一个实验涉及使用全色图像计算外部方向参数(EOP),并将其应用于地理参考多光谱图像。在第二个实验中通过应用从多光谱图像计算得出的模型EOP对全色图像进行地理配准。第三个实验包括在捆绑调整过程中使用两个图像,以提高准确性。只能使用仅使用全色图像计算的模型来获得子像素定位精度。

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